Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JQT_2017-08-20_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JLT_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPR_2017-09-09_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMG_2017-12-08_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JQT_2017-12-08_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPQ_2017-12-18_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNG_2018-01-04_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHS_2018-02-19_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPG_2018-03-05_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JPT_2018-03-08_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPS_2018-03-15_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPT_2018-03-15_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNN_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNR_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLQ_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMP_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JQT_2018-03-28_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JML_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPR_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQP_2018-04-11_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNQ_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JPR_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQS_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNK_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JNL_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JPL_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLP_2018-04-17_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLT_2018-04-17_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JPR_2018-04-17_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JPT_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQN_2018-04-24_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HMG_2018-08-15_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JPT_2018-08-25_final
2018-12-17 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2018-12-17_final
2018-12-20 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2018-12-20_final
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-28 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-01-28_final
2019-01-29 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-01-29_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final
2019-05-09 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-09_final.stac-item
2019-05-19 11:45:48	ga_s2bm_ard_3-2-1_50JNP_2019-05-19_final
2019-05-19 11:45:59	ga_s2bm_ard_3-2-1_50JPN_2019-05-19_final
2019-05-22 11:54:54	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-22 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-22_final
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-05-26 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-26_final
2019-05-29 11:45:20	ga_s2bm_ard_3-2-1_50JNR_2019-05-29_final
2019-05-29 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-29_final
2019-06-01 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-06-01_final
2019-11-15 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-11-15_final
2019-12-25 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2019-12-25_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2020-02-13 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-02-13_final
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-03-24 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-03-24_final.stac-item
2020-06-15 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-06-15_final
2020-07-05 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2020-07-05_final
2020-10-20 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2020-10-20_final
2020-10-23 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2020-10-23_final
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2020-11-09 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2020-11-09_final
2021-01-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-01-18_final
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final.stac-item
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final.stac-item
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final.stac-item
2021-05-18 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-05-18_final
2021-06-17 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-06-17_final.stac-item
2021-06-27 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-06-27_final
2021-06-27 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2021-06-27_final
2021-06-27 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2021-06-27_final
2021-07-17 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-17_final
2021-08-19 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2021-08-19_final
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final
2021-11-11 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-11-11_final
2021-12-01 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-01_final.stac-item
2021-12-04 11:45:27	ga_s2bm_ard_3-2-1_50JQP_2021-12-04_final
2021-12-07 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2021-12-07_final
2021-12-07 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-12-07_final
2021-12-07 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2021-12-07_final
2021-12-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-12-07_final
2022-04-26 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2022-04-26_final
2022-09-27 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-09-27_final.stac-item
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2023-01-11 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2023-01-11_final.stac-item
2023-01-21 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2023-01-21_final.stac-item
2023-06-17 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-17_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final.stac-item
2024-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2024-01-06_final.stac-item
2024-01-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2024-01-13_final.stac-item
2024-02-02 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years